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Mlakar V, Dupanloup I, Gonzales F, Papangelopoulou D, Ansari M, Gumy-Pause F. 17q Gain in Neuroblastoma: A Review of Clinical and Biological Implications. Cancers (Basel) 2024; 16:338. [PMID: 38254827 PMCID: PMC10814316 DOI: 10.3390/cancers16020338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
Neuroblastoma (NB) is the most frequent extracranial solid childhood tumor. Despite advances in the understanding and treatment of this disease, the prognosis in cases of high-risk NB is still poor. 17q gain has been shown to be the most frequent genomic alteration in NB. However, the significance of this remains unclear because of its high frequency and association with other genetic modifications, particularly segmental chromosomal aberrations, 1p and 11q deletions, and MYCN amplification, all of which are also associated with a poor clinical prognosis. This work reviewed the evidence on the clinical and biological significance of 17q gain. It strongly supports the significance of 17q gain in the development of NB and its importance as a clinically relevant marker. However, it is crucial to distinguish between whole and partial chromosome 17q gains. The most important breakpoints appear to be at 17q12 and 17q21. The former distinguishes between whole and partial chromosome 17q gain; the latter is a site of IGF2BP1 and NME1 genes that appear to be the main oncogenes responsible for the functional effects of 17q gain.
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Affiliation(s)
- Vid Mlakar
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
| | - Isabelle Dupanloup
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
- Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland
| | - Fanny Gonzales
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
- Division of Pediatric Oncology and Hematology, Department of Women, Child and Adolescent, University Geneva Hospitals, Rue Willy-Donzé 6, 1205 Geneva, Switzerland
| | - Danai Papangelopoulou
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
- Division of Pediatric Oncology and Hematology, Department of Women, Child and Adolescent, University Geneva Hospitals, Rue Willy-Donzé 6, 1205 Geneva, Switzerland
| | - Marc Ansari
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
- Division of Pediatric Oncology and Hematology, Department of Women, Child and Adolescent, University Geneva Hospitals, Rue Willy-Donzé 6, 1205 Geneva, Switzerland
| | - Fabienne Gumy-Pause
- Cansearch Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Rue Michel Servet 1, 1211 Geneva, Switzerland; (I.D.); (F.G.); (D.P.); (M.A.); (F.G.-P.)
- Division of Pediatric Oncology and Hematology, Department of Women, Child and Adolescent, University Geneva Hospitals, Rue Willy-Donzé 6, 1205 Geneva, Switzerland
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Brady SW, Liu Y, Ma X, Gout AM, Hagiwara K, Zhou X, Wang J, Macias M, Chen X, Easton J, Mulder HL, Rusch M, Wang L, Nakitandwe J, Lei S, Davis EM, Naranjo A, Cheng C, Maris JM, Downing JR, Cheung NKV, Hogarty MD, Dyer MA, Zhang J. Pan-neuroblastoma analysis reveals age- and signature-associated driver alterations. Nat Commun 2020; 11:5183. [PMID: 33056981 PMCID: PMC7560655 DOI: 10.1038/s41467-020-18987-4] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 08/27/2020] [Indexed: 02/06/2023] Open
Abstract
Neuroblastoma is a pediatric malignancy with heterogeneous clinical outcomes. To better understand neuroblastoma pathogenesis, here we analyze whole-genome, whole-exome and/or transcriptome data from 702 neuroblastoma samples. Forty percent of samples harbor at least one recurrent driver gene alteration and most aberrations, including MYCN, ATRX, and TERT alterations, differ in frequency by age. MYCN alterations occur at median 2.3 years of age, TERT at 3.8 years, and ATRX at 5.6 years. COSMIC mutational signature 18, previously associated with reactive oxygen species, is the most common cause of driver point mutations in neuroblastoma, including most ALK and Ras-activating variants. Signature 18 appears early and is continuous throughout disease evolution. Signature 18 is enriched in neuroblastomas with MYCN amplification, 17q gain, and increased expression of mitochondrial ribosome and electron transport-associated genes. Recurrent FGFR1 variants in six patients, and ALK N-terminal structural alterations in five samples, identify additional patients potentially amenable to precision therapy.
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Affiliation(s)
- Samuel W Brady
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Alexander M Gout
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Kohei Hagiwara
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xin Zhou
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jian Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael Macias
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiaolong Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Heather L Mulder
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lu Wang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Joy Nakitandwe
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shaohua Lei
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Eric M Davis
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Arlene Naranjo
- Department of Biostatistics, University of Florida, Children's Oncology Group Statistics & Data Center, Gainesville, FL, USA
| | - Cheng Cheng
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - John M Maris
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - James R Downing
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Nai-Kong V Cheung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael D Hogarty
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Michael A Dyer
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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Domingo-Fernandez R, Watters K, Piskareva O, Stallings RL, Bray I. The role of genetic and epigenetic alterations in neuroblastoma disease pathogenesis. Pediatr Surg Int 2013; 29:101-19. [PMID: 23274701 PMCID: PMC3557462 DOI: 10.1007/s00383-012-3239-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/12/2012] [Indexed: 12/11/2022]
Abstract
Neuroblastoma is a highly heterogeneous tumor accounting for 15 % of all pediatric cancer deaths. Clinical behavior ranges from the spontaneous regression of localized, asymptomatic tumors, as well as metastasized tumors in infants, to rapid progression and resistance to therapy. Genomic amplification of the MYCN oncogene has been used to predict outcome in neuroblastoma for over 30 years, however, recent methodological advances including miRNA and mRNA profiling, comparative genomic hybridization (array-CGH), and whole-genome sequencing have enabled the detailed analysis of the neuroblastoma genome, leading to the identification of new prognostic markers and better patient stratification. In this review, we will describe the main genetic factors responsible for these diverse clinical phenotypes in neuroblastoma, the chronology of their discovery, and the impact on patient prognosis.
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Affiliation(s)
- Raquel Domingo-Fernandez
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland,Children’s Research Centre, Our Lady’s Children’s Hospital, Crumlin, Dublin, Ireland
| | - Karen Watters
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland,Children’s Research Centre, Our Lady’s Children’s Hospital, Crumlin, Dublin, Ireland
| | - Olga Piskareva
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland,Children’s Research Centre, Our Lady’s Children’s Hospital, Crumlin, Dublin, Ireland
| | - Raymond L. Stallings
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland,Children’s Research Centre, Our Lady’s Children’s Hospital, Crumlin, Dublin, Ireland
| | - Isabella Bray
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland,Children’s Research Centre, Our Lady’s Children’s Hospital, Crumlin, Dublin, Ireland
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Jeison M, Yaniv I, Ash S. Genetic stratification of neuroblastoma for treatment tailoring. Future Oncol 2012; 7:1087-99. [PMID: 21919696 DOI: 10.2217/fon.11.87] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Neuroblastoma is the most common extracranial tumor of childhood. The clinical behavior is variable, ranging from spontaneous regression to fatal progression despite aggressive therapy. The most highly statistically significant and clinically relevant factors that are currently used for classification include stage, age, histopathologic category, MYCN oncogene status, chromosome 11q status and DNA ploidy. These genetic markers were analyzed separately by classical methods until recently: mainly fluorescence in situ hybridization or loss of heterozygosity. The development of genome-wide techniques such as comparative genomic hybridization, array comparative genomic hybridization and single nucleotide polymorphism allows the analysis of copy number variations through the whole genome in one step. This enabled the investigators to refine different genetic subtypes for the better comprehension of neuroblastoma tumor behavior and reach the conclusion that these data together with a genomic profile based on gene expression should be included in future treatment stratification.
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Affiliation(s)
- Marta Jeison
- Department of Pediatric Hematology-Oncology, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
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Parodi F, Passoni L, Massimo L, Luksch R, Gambini C, Rossi E, Zuffardi O, Pistoia V, Pezzolo A. Identification of novel prognostic markers in relapsing localized resectable neuroblastoma. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2011; 15:113-21. [PMID: 21319993 DOI: 10.1089/omi.2010.0085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Patients with localized resectable neuroblastoma (NB) generally have an excellent prognosis and can be treated by surgery alone, but approximately 10% of them develop local recurrences or metastatic progression. The known predictive risk factors are important for the identification of localized resectable NB patients at risk of relapse and/or progression, who may benefit from early and aggressive treatment. These factors, however, identify only a subset of patients at risk, and the search for novel prognostic markers is warranted. This review focuses on the recent advances in the identification of new prognostic markers. Recently we addressed the search of novel genetic prognostic markers in a selected cohort of patients with stroma-poor localized resectable NB who underwent disease relapse or progression (group 1) or complete remission (group 2). High-resolution array-comparative genomic hybridization (CGH) DNA copy-number analysis technology was used. Chromosome 1p36.22p36.32 loss and 1q22qter gain, detected almost exclusively in group 1 patients, were significantly associated with poor event-free survival (EFS). Increasing evidence points to anaplastic lymphoma kinase (ALK) as a fundamental oncogene associated with NB. The immunohistochemical analysis of sporadic NB localized resectable primary tumors (stage 1-2) showed a correlation between aberrant ALK level of expression and tumor progression and clinical outcome. Moreover, other factors that might influence the clinical behavior of these tumors will be reviewed.
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Affiliation(s)
- Federica Parodi
- Laboratory of Oncology, IRCCS G.Gaslini Hospital, Genova, Italy
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Buckley PG, Alcock L, Bryan K, Bray I, Schulte JH, Schramm A, Eggert A, Mestdagh P, De Preter K, Vandesompele J, Speleman F, Stallings RL. Chromosomal and microRNA expression patterns reveal biologically distinct subgroups of 11q- neuroblastoma. Clin Cancer Res 2010; 16:2971-8. [PMID: 20406844 DOI: 10.1158/1078-0432.ccr-09-3215] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE The purpose of this study was to further define the biology of the 11q- neuroblastoma tumor subgroup by the integration of array-based comparative genomic hybridization with microRNA (miRNA) expression profiling data to determine if improved patient stratification is possible. EXPERIMENTAL DESIGN A set of primary neuroblastoma (n = 160), which was broadly representative of all genetic subtypes, was analyzed by array-based comparative genomic hybridization and for the expression of 430 miRNAs. A 15-miRNA expression signature previously shown to be predictive of clinical outcome was used to analyze an independent cohort of 11q- tumors (n = 37). RESULTS Loss of 4p and gain of 7q occurred at a significantly higher frequency in the 11q- tumors, further defining the genetic characteristics of this subtype. The 11q- tumors could be split into two subgroups using a miRNA expression survival signature that differed significantly in clinical outcome and the overall frequency of large-scale genomic imbalances, with the poor survival subgroup having significantly more imbalances. miRNAs from the expression signature, which were upregulated in unfavorable tumors, were predicted to target downregulated genes from a published mRNA expression classifier of clinical outcome at a higher-than-expected frequency, indicating the miRNAs might contribute to the regulation of genes within the signature. CONCLUSION We show that two distinct biological subtypes of neuroblastoma with loss of 11q occur, which differ in their miRNA expression profiles, frequency of segmental imbalances, and clinical outcome. A miRNA expression signature, combined with an analysis of segmental imbalances, provides greater prediction of event-free survival and overall survival outcomes than 11q status by itself, improving patient stratification.
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Affiliation(s)
- Patrick G Buckley
- Department of Cancer Genetics, Royal College of Surgeons in Ireland, Dublin, Ireland
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Jeison M, Ash S, Halevy-Berko G, Mardoukh J, Luria D, Avigad S, Feinberg-Gorenshtein G, Goshen Y, Hertzel G, Kapelushnik J, Ben Barak A, Attias D, Steinberg R, Stein J, Stark B, Yaniv I. 2p24 Gain region harboring MYCN gene compared with MYCN amplified and nonamplified neuroblastoma: biological and clinical characteristics. THE AMERICAN JOURNAL OF PATHOLOGY 2010; 176:2616-25. [PMID: 20395439 DOI: 10.2353/ajpath.2010.090624] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Although the role of MYCN amplification in neuroblastoma is well established, the biological and clinical characteristics of the 2p gain region harboring the MYCN gene remain unclear. The aim of this study was to compare the biological and clinical characteristics of these tumors with MYCN amplified and nonamplified neuroblastoma and to determine their impact on disease outcome. Samples from 177 patients were analyzed by fluorescence in situ hybridization, including MYCN, 1p, 17q, and 11q regions; 2p gain was identified in 25 patients, MYCN amplification in 31, and no amplification in 121 patients. Patients with 2p gain had a significantly worse 5-year event-free survival rate than patients with no MYCN amplified (P < 0.001), and an intermediate 5-year overall survival rate difference existed between the MYCN amplified tumors (P = 0.025) and nonamplified (P = 0.003) groups. All of the 2p gain samples were associated with segmental and/or numerical alterations in the other tested regions. The presence of segmental alterations with or without MYCN amplification was recently found to be the strongest predictor of relapse in a multivariate analysis. The results of the present study suggest that the determination of MYCN gene copy number relative to chromosome 2, when evaluating MYCN status at diagnosis, may help to reveal the underlying genetic pattern of these tumors and better understand their clinical behavior.
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Affiliation(s)
- Marta Jeison
- Ca-Cytogenetic Lab, Schneider Children's Medical Center of Israel, Kaplan St. 14, 49202 Petah Tikva, Israel.
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8
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Stallings R. Origin and functional significance of large-scale chromosomal imbalances in neuroblastoma. Cytogenet Genome Res 2007; 118:110-5. [DOI: 10.1159/000108291] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2006] [Accepted: 12/20/2006] [Indexed: 11/19/2022] Open
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Spitz R, Hero B, Simon T, Berthold F. Loss in chromosome 11q identifies tumors with increased risk for metastatic relapses in localized and 4S neuroblastoma. Clin Cancer Res 2007; 12:3368-73. [PMID: 16740759 DOI: 10.1158/1078-0432.ccr-05-2495] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE To improve risk prediction in neuroblastoma and to specify the type of a possible relapse, alterations in the long arm of chromosome 11 were analyzed. EXPERIMENTAL DESIGN A representative cohort of 611 neuroblastomas was investigated for deletion events in distal chromosome 11q using interphase fluorescence in situ hybridization. RESULTS Alterations in 11q were found in 159 of 611 tumors in the whole cohort (26%) and were associated with stage 4 disease (P < 0.001) and age at diagnosis of >2.5 years (P < 0.001). Event-free survival and overall survival were significantly poorer for patients with 11q loss in the whole cohort (event-free survival and overall survival, P < 0.001) and in different subsets: neuroblastoma without MYCN amplification (MNA) (event-free survival and overall survival, P < 0.001), with MNA (event-free survival, P = 0.03; overall survival, P = 0.02), and MYCN-nonamplified stage 1, 2, 3, and 4S tumors with and without del 1p (event-free survival and overall survival, P < 0.001). In stage 4, the 11q status did not discriminate outcome. By multivariate analysis, the 11q status proved prognostic for event-free survival in the whole cohort (P = 0.008; hazard ratio, 1.573) and in the subgroup of stages 1, 2, 3, and 4S without MNA (P < 0.001; hazard ratio, 3.534). Moreover, 11q alterations were strongly correlated with the occurrence of metastatic relapses (P < 0.001). CONCLUSION In addition to the current risk stratification, the status of 11q enables the identification of patients with an increased risk for relapses in general and metastatic relapses in particular.
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Affiliation(s)
- Ruediger Spitz
- Authors' Affiliations: Department of Pediatric Oncology, University Children's Hospital, Köln, Germany.
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Stallings RL, Yoon K, Kwek S, Ko D. The origin of chromosome imbalances in neuroblastoma. ACTA ACUST UNITED AC 2007; 176:28-34. [PMID: 17574961 DOI: 10.1016/j.cancergencyto.2007.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2006] [Accepted: 02/19/2007] [Indexed: 10/23/2022]
Abstract
Many recurrent large-scale chromosome abnormalities associated with poor clinical outcomes have been identified in neuroblastoma, a pediatric tumor that accounts for 15% of childhood cancer deaths. We have previously used high-resolution oligonucleotide array comparative genomic hybridization to map 461 chromosome breakpoints leading to large-scale chromosome imbalances in 56 primary neuroblastoma tumors and cell lines. Here, we analyze the distribution of DNA sequence elements and genomic landmarks found within these breakpoint intervals and in 15,800 randomly generated intervals of similar size. The most consistent finding was that neuroblastoma chromosome breakpoints occur preferentially in GC-rich regions of the genome. It is not unsurprising that these regions have fewer (AT)(n) microsatellite repeat sequences. In addition, chromosome breakpoints occurring in neuroblastoma also appeared to be preferentially associated with ancestral chromosome breakpoint regions on several chromosomes, suggesting that such sites also act as hotspots for chromosome rearrangement in somatic cells. Very little evidence for the enrichment of Alu and other types of repeats in breakpoint intervals was obtained. Overall, our results are consistent with a mechanistic model involving nonhomologous end joining of DNA double-strand breaks that have been generated in a nonrandom manner.
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Affiliation(s)
- Raymond L Stallings
- Children's Cancer Research Institute and Department of Pediatrics, The University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, MC 7784, San Antonio, TX 78229-3900, USA.
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11
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Stallings RL. Are chromosomal imbalances important in cancer? Trends Genet 2007; 23:278-83. [PMID: 17400327 DOI: 10.1016/j.tig.2007.03.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2006] [Revised: 02/12/2007] [Accepted: 03/19/2007] [Indexed: 10/23/2022]
Abstract
Tumor-specific patterns of large-scale chromosomal imbalances characterize most forms of cancer. Based on evidence primarily from neuroblastomas, it can be argued that large-scale chromosomal imbalances are crucial for tumor pathogenesis and have an impact on the global transcriptional profile of cancer cells, and that some imbalances even initiate cancer. The genes and genetic pathways that have been dysregulated by such imbalances remain surprisingly elusive. Many genes are affected by the regions of gain and loss, and there are complex interactions and relationships that occur between these genes, hindering their identification. The study of untranslated RNA sequences, such as microRNAs, is in its infancy, and it is likely that such sequences are also dysregulated by chromosomal imbalance, contributing to pathogenesis.
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Affiliation(s)
- Raymond L Stallings
- Children's Cancer Research Institute and Department of Pediatrics, The University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, MC 7784, San Antonio, TX 78229-3900, USA.
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12
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Stallings RL, Carty P, McArdle L, Mullarkey M, McDermott M, Breatnach F, O'Meara A. Molecular cytogenetic analysis of recurrent unbalanced t(11;17) in neuroblastoma. ACTA ACUST UNITED AC 2004; 154:44-51. [PMID: 15381371 DOI: 10.1016/j.cancergencyto.2004.04.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2004] [Revised: 04/05/2004] [Accepted: 04/05/2004] [Indexed: 11/27/2022]
Abstract
Loss of 11q material occurs in approximately 30% of advanced stage neuroblastoma and defines a distinct genetic subtype of this disease. These tumors almost always possess unbalanced gain of the 17q, along with many additional recurrent chromosomal imbalances. Loss of 11q and gain of 17q is often the consequence of an unbalanced translocation between the long arms of both chromosomes, but because of the involvement of other chromosomal mechanisms, the actual frequency of t(11;17) is unknown. In addition, chromosomal breakpoint positions for the t(11;17) are variable in different tumors, with breakpoints on neither the 11q nor 17q being well defined. We have used interphase fluorescence in situ hybridization analysis to detect a der(11)t(11;17) in a series of neuroblastomas with 11q loss/17q gain using a statistical approach which could be applicable to the detection of translocations in other solid tumors. The frequency of der(11)t(11;17) was approximately 90% in our neuroblastoma series. A balanced t(11;17) was also detected in a MYCN amplified tumor, which is a distinctly different genetic subtype from the 11q- tumors. Breakpoint positions on 11q were determined to be variable, whereas all breakpoints on 17q appeared to cluster proximal to position 43.1 Mb on the DNA sequence map. The majority of tumors had large numbers of nuclei with 2 or more copies of der(11)t(11;17), which led to unbalanced gain of 11p, and further increases in 17q imbalance. The prevalence of t(11;17) in neuroblastoma warrants additional studies to further define the range in variation in breakpoint positions on both chromosomes and to elucidate the molecular mechanisms that lead to this important and interesting recurrent genetic abnormality.
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Affiliation(s)
- R L Stallings
- National Centre for Medical Genetics Our Lady's Hospital for Sick Children Crumlin, Dublin 12, Ireland.
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